ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning
active 2025-04-23 → 2026-07-25 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 459 days from 2025-04-23 to 2026-07-25. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 35 total, peak 5 in a day. Comments: 40 total, peak 5 in a day. Stars: 322 total, peak 14 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| AnselCmy | 20 | 0 | 0 | 12 |
| b1ackwater3 | 5 | 0 | 0 | 3 |
| xiariyuni | 5 | 0 | 0 | 4 |
| YqjMartin | 4 | 0 | 0 | 3 |
| prasadke20 | 4 | 0 | 0 | 2 |
| songjiechong | 3 | 0 | 0 | 0 |
| qilong-zhang | 3 | 0 | 0 | 1 |
| bhpfelix | 2 | 0 | 0 | 1 |
| Alethes0216 | 2 | 0 | 0 | 2 |
| zfj1998 | 2 | 0 | 0 | 0 |
| Hyfred | 2 | 0 | 0 | 1 |
| Oliveu25 | 2 | 0 | 0 | 1 |
| OswaldoBornemann | 2 | 0 | 0 | 0 |
| Some-random | 1 | 0 | 0 | 0 |
| xushan116 | 1 | 0 | 0 | 1 |
| cwszz | 1 | 0 | 0 | 1 |
| diablounbounded | 1 | 0 | 0 | 0 |
| LePanda026 | 1 | 0 | 0 | 1 |
| wenjunli-0 | 1 | 0 | 0 | 0 |
| quxiaoyang0zero | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#91Hyfred2026-01-23 05:46Released model Performance lower than reported in the paper
- Issue#91Hyfred2026-01-21 02:10Released model Performance lower than reported in the paper
- Issue#88callmeluoq-art2025-08-28 08:39How to support asynchronous tool calls?
- Issue comment#53cwszz2025-08-21 07:44Retriever Serving error
- Issue#87threegold1162025-08-21 02:58model merge
- Issue#84songjiechong2025-08-14 09:28数据集相关问题
- Issue comment#60BaiMeiyingxue2025-08-14 01:28OOV Train Error
- Issue comment#83Alethes02162025-07-31 08:26Guidance on Correctly Enabling Flash Attention 2 with Qwen2-7B-Instruct (dtype and device warnings)
- Issue comment#81Alethes02162025-07-25 08:25value error: Token id 151908 is out of vocabulary
- Issue comment#81YurainSoon2025-07-23 09:27value error: Token id 151908 is out of vocabulary
- Issue comment#80AnselCmy2025-07-23 08:32Mismatch between loss_mask and attention_mask/seq length — will this cause issues during training?
- Issue#81Alethes02162025-07-23 04:57value error: Token id 151908 is out of vocabulary
- Issue comment#30BaiMeiyingxue2025-07-22 09:00datasets.arrow_writer.SchemaInferenceError: Please pass `features` or at least one example when writing data
- Issue#79songjiechong2025-06-30 06:47训练过程reward score问题
- Issue#79songjiechong2025-06-29 10:42训练过程reward score问题
- Issue#78qilong-zhang2025-06-20 10:01exchange wechat
- Issue#77prasadke202025-06-14 12:58Requesting compatibility for LORA based fine-tuning with GRPO
- Issue comment#76prasadke202025-06-13 09:11Reward Not Increasing While trying to use Qwen 2.5 - 0.5B,1.5B Instruct models for training on musique with re-search code
- Issue#75AnselCmy2025-06-13 06:33QwQ-32B with Tool Use as Baseline?
- Issue#38AnselCmy2025-06-13 06:32Training with an ERROR, and speed issue
- Issue#45AnselCmy2025-06-13 06:32About preprocessed training data
- Issue#49AnselCmy2025-06-13 06:32Why setting the max tokens for each turn to 512?
- Issue comment#76AnselCmy2025-06-13 06:19Reward Not Increasing While trying to use Qwen 2.5 - 0.5B,1.5B Instruct models for training on musique with re-search code
- Issue comment#76prasadke202025-06-12 19:47Reward Not Increasing While trying to use Qwen 2.5 - 0.5B,1.5B Instruct models for training on musique with re-search code
- Issue#76prasadke202025-06-12 19:35Reward Not Increasing While trying to use Qwen 2.5 - 0.5B,1.5B Instruct models for training on musique with re-search code
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 322 stars here means stars gained during the window, not the repo's star count.